香料
神经形态工程学
材料科学
晶体管
硅
电子线路
纳米尺度
薄膜晶体管
光电子学
电压
电子工程
计算机科学
电气工程
纳米技术
人工神经网络
工程类
人工智能
图层(电子)
作者
Kurtis D. Cantley,Anand Bala Subramaniam,H. Stiegler,R. A. Chapman,Eric M. Vogel
标识
DOI:10.1109/mwscas.2010.5548881
摘要
Electrical characteristics of nano-crystalline silicon (nc-Si) thin-film transistors (TFTs) are fit using SPICE device models. The corresponding device model geometry is then extrapolated down to submicron dimensions using electrical data measured on a-Si:H transistors as justification. The nanoscale devices are then used to simulate a spiking neuron circuit. The frequency of output voltage pulses in the circuit is a function of the input current. Various loads are added to the output to represent driving of many synapses. Frequency versus current curves from the circuit simulations are compared to biological models. The similarities demonstrate the feasibility of using low-temperature, large-area semiconductor materials such as nc-Si in nanoscale devices to implement neuromorphic electronic designs.
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